There are a few possible reasons why MATLAB may occasionally freeze during demanding parallel processing workloads. Here are some measures you can take to examine and perhaps resolve the problem:
- Examine your hardware: Ensure that the size and complexity of your processing work can be handled by the hardware you are using (CPU, Memory, etc.). MATLAB may be slowing down or hanging if you're running low on resources. If necessary, think about upgrading your hardware.
- Check your MATLAB code: Verify that your code is parallel processing-optimized and that you are utilising the proper tools and functions to benefit from multi-core processing. The built-in parallel computing tools in MATLAB, such as "parfor," "spmd," and "gpuArray," can help your code run more quickly.
- Update MATLAB: Make sure you're using the most recent version of MATLAB, as newer versions may include bug fixes or better parallel computing performance.
- Monitor system resources: Keep an eye on your system resources (CPU, RAM, disk usage, etc.) during your processing task. If you notice any spikes or drops in usage, this may be a sign of a bottleneck or other issue that is causing MATLAB to hang. Use MATLAB's built-in profiler to identify slow or inefficient code sections.
